Emp Type: W2 or 1099........ (No C2C)
Visa: H1B, H4EAD, GCEAD, L2, OPT, CPT, Green Card, US Citizens (Only USA Applicants)
Workplace Type: Onsite/ Hybrid -Seattle
Experience: 8+ Yrs
Key Skills Required for Data Platform Engineers :
Senior Engineer who is technically very strong with a strong Linux background, with deep knowledge in microservices, backend storage design, NoSQL database, distributed systems and very good troubleshooting skills.
Azure Cloud, AKS - Scalability, monitoring, deployment, check logs, ensure node and pod health.
Databases include - Cassandra, Mongo, PostgreSQL, NoSQL
Ability to create and run Databricks notebooks, run queries, find and fix discrepancies.
Experience with using Kafka, Event Hub, NATS or any messaging broker.
JAVA Based microservices, responsible for deployment, scripting language is python.
Should have an understanding around terraform.
Monitoring logs and alerts with Datadog and Splunk.
Primary activities
Production monitoring, creating monitoring dashboards, setting up alerts, triaging alerts coupled with the ability to drive efforts and solution improvements effectively across various IT and business functions
Maintaining production systems, deploying code in Production, and leading production troubleshooting calls.
Working with Product Owners and other developers to implement highly scalable reactive application platform solutions in Cloud based Linux environments.
Databricks Notebooks - There are a lot of jobs on Databricks - experience with Databricks to know how a notebook is created and run - run queries against the database and finding discrepancies and perform fixes.
Summary of experience
Requires 7+ years experience in the IT industry.
Requires 5+ years of software and DevOps development engineering Experience in working with cloud environment Azure preferred.
Experience with Emp Type: W2 or 1099........ (No C2C)
Visa: H1B, H4EAD, GCEAD, L2, OPT, CPT,Green Card, US Citizens (Only USA Applicants)
Workplace Type: Onsite/ Hybrid -Dallas
Experience: 8+ Yrs
Key Skills Required for Data Platform Engineers :
Senior Engineer who is technically very strong with a strong Linux background, with deep knowledge in microservices, backend storage design, NoSQL database, distributed systems and very good troubleshooting skills.
Azure Cloud, AKS - Scalability, monitoring, deployment, check logs, ensure node and pod health.
Databases include - Cassandra, Mongo, PostGres, NoSQL
Ability to create and run Databricks notebooks, run queries, find and fix discrepancies.
Experience with using Kafka, Event Hub, NATS or any messaging broker.
JAVA Based microservices, responsible for deployment, scripting language is python.
Should have an understanding around terraform.
Monitoring logs and alerts with Datadog and Splunk.
Primary activities
Production monitoring, creating monitoring dashboards, setting up alerts, triaging alerts coupled with the ability to drive efforts and solution improvements effectively across various IT and business functions
Maintaining production systems, deploying code in Production, and leading production troubleshooting calls.
Working with Product Owners and other developers to implement highly scalable reactive application platform solutions in Cloud based Linux environments.
Databricks Notebooks - There are a lot of jobs on Databricks - experience with Databricks to know how a notebook is created and run - run queries against the database and finding discrepancies and perform fixes.
Summary of experience
Requires 7+ years experience in the IT industry.
Requires 5+ years of software and DevOps development engineering Experience in working with cloud environment Azure preferred.
Experience with Kubernetes, Azure Kubernetes (AKS) preferred.
Experience with using Kafka, Event Hub, NATS or any messaging broker.
Experience on Azure DevOps, Jenkins/ Python / Terraform / Ansible
Experience with Databricks
Experience with DataDog. Splunk or other logging and APM tools.
Experience in working with Linux environments.
In-depth understanding of Computer Science fundamentals in object-oriented design, data structures, algorithms, and problem solving Experience building complex, scalable, high-performance software systems that have been successfully delivered to customers
Demonstrated knowledge of best practices for the design and implementation of large scale systems as well as experience in taking such systems from design to production Experience building and operating mission critical, highly available (24x7) systems Ability to work well with a team in a fast-paced agile development environment.
Education :
Bachelors in Computer Science or equivalent work experience.
Excellent communication, analytical and problem-solving skills Extensive understanding in SDLC and scrum methodologies.
, Azure Kubernetes (AKS) preferred.
Experience with using Kafka, Event Hub, NATS or any messaging broker.
Experience on Azure DevOps, Jenkins/ Python / Terraform / Ansible
Experience with Databricks
Experience with DataDog. Splunk or other logging and APM tools.
Experience in working with Linux environments.
In-depth understanding of Computer Science fundamentals in object-oriented design, data structures, algorithms, and problem solving Experience building complex, scalable, high-performance software systems that have been successfully delivered to customers
Demonstrated knowledge of best practices for the design and implementation of large scale systems as well as experience in taking such systems from design to production Experience building and operating mission critical, highly available (24x7) systems Ability to work well with a team in a fast-paced agile development environment.
Education :
Bachelors in Computer Science or equivalent work experience.
Excellent communication, analytical and problem-solving skills Extensive understanding in SDLC and scrum methodologies.
Please forward your resume and contact details to [email protected]/ [email protected] or can call on 832-990-6448